About the job:
About Dobin:
Dobin is an innovative fintech start-up founded by a strong team with deep expertise in financial services, data science and tech. Dobin is building a smart analytics financial marketplace which uses data to bring the best deals to users and the best customers to businesses.
About the role:
Dobin is looking for a Lead, Data Engineering to build next generation intelligent data platform solutions. You will work closely with Dobin's CPO/CTO to define requirements and take the lead on operational and technical projects. In this role, you should be able to work independently with little supervision and manage a small team of other Data scientist/Data engineers. You should have excellent organization and problem-solving skills. We are looking for someone with a strong background in data engineering or machine learning engineering. You need to be comfortable in dealing with lots of moving pieces and learning/developing new approaches.
This role is based in India.
Key responsibilities:
- Develop, design and architect the data lake, dashboarding and Machine learning pipeline
- Be involved in development of data product solutions that will involve mix of Deep learning, NLP, Graph learning based ML Models
- Develop tools and applications by producing clean, efficient code
- Automate tasks through appropriate tools and scripting
- Perform validation and verification testing
- Collaborate with other team members and vendors to fix and improve products
- Document development phases and monitor systems
Primary Skill Required
- 5+ years of proven experience in data engineering/ML engineering
- Experience of working with data-intensive projects, with a variety of technology stacks
- including different programming languages (Java, Python, Scala)
- Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to support other teams to run pipelines/jobs/reports etc.
- Experience in Open-source stack
- Experiences of working with RDBMS databases, NoSQL Databases
- Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
- Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
- Understanding of Cloud Platform: AWS, Azure, GCP, etc.
- Have core computer science academic background
Optional Skill Required
- Past experience of setting up MLOps pipeline will be a plus
- Understanding of Big Data technologies and Machine learning/Deep learning
- Knowledge of Data Science in Python (Pandas, Numpy, TensorFlow, etc.) is plus
- Experience in BFSI domain is a plus
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